Lanh Si Ho

903 total citations
10 papers, 708 citations indexed

About

Lanh Si Ho is a scholar working on Global and Planetary Change, Environmental Engineering and Civil and Structural Engineering. According to data from OpenAlex, Lanh Si Ho has authored 10 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Global and Planetary Change, 4 papers in Environmental Engineering and 3 papers in Civil and Structural Engineering. Recurrent topics in Lanh Si Ho's work include Flood Risk Assessment and Management (6 papers), Hydrology and Watershed Management Studies (3 papers) and Groundwater and Watershed Analysis (3 papers). Lanh Si Ho is often cited by papers focused on Flood Risk Assessment and Management (6 papers), Hydrology and Watershed Management Studies (3 papers) and Groundwater and Watershed Analysis (3 papers). Lanh Si Ho collaborates with scholars based in Vietnam, India and Iran. Lanh Si Ho's co-authors include Tran Van Phong, Binh Thai Pham, Indra Prakash, Nadhir Al‐Ansari, Hiep Van Le, Ata Amini, Huu Duy Nguyen, Mohammadtaghi Avand, Hai‐Bang Ly and Sumit Das and has published in prestigious journals such as Sustainability, Computers and Electronics in Agriculture and Applied Sciences.

In The Last Decade

Lanh Si Ho

10 papers receiving 696 citations

Peers

Lanh Si Ho

GPC

WST

MMPL

CSE

Mohammad Ahmadlou Iran

Siniša Drobnjak Serbia

A’kif Al-Fugara Jordan

Jinsoo Kim South Korea

Seyed Vahid Razavi Termeh Iran

Mahfuzur Rahman Bangladesh

Md Monirul Islam Bangladesh

Gwangseob Kim South Korea

Hoang Phan Hải Yen Vietnam

Mohammad Ahmadlou Iran

Lanh Si Ho

428 ×1.0

GPC

220 ×0.9

198 ×0.8

WST

100 ×0.6

MMPL

45 ×0.5

CSE

Citations per year, relative to Lanh Si Ho Lanh Si Ho (= 1×) peers Mohammad Ahmadlou

Countries citing papers authored by Lanh Si Ho

Since Specialization

Citations

This map shows the geographic impact of Lanh Si Ho's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lanh Si Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanh Si Ho more than expected).

Fields of papers citing papers by Lanh Si Ho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lanh Si Ho. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lanh Si Ho. The network helps show where Lanh Si Ho may publish in the future.

Co-authorship network of co-authors of Lanh Si Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Lanh Si Ho. A scholar is included among the top collaborators of Lanh Si Ho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lanh Si Ho. Lanh Si Ho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Pham, Binh Thai, Mohammadtaghi Avand, Saeid Janizadeh, et al.. (2020). GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment. Water. 12(3). 683–683. 186 indexed citations

Pham, Binh Thai, Tran Van Phong, Huu Duy Nguyen, et al.. (2020). A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping. Water. 12(1). 239–239. 109 indexed citations

Ha, Duong Hai, Mohammadtaghi Avand, Abolfazl Jaafari, et al.. (2020). Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping. Applied Sciences. 10(7). 2469–2469. 121 indexed citations

Ha, Duong Hai, Huu Duy Nguyen, Tran Van Phong, et al.. (2020). Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling. Sustainability. 12(7). 2622–2622. 47 indexed citations

Cao, Yan, Karzan Wakil, Rayed Alyousef, et al.. (2020). Application of extreme learning machine in behavior of beam to column connections. Structures. 25. 861–867. 30 indexed citations

Cao, Yan, Rayed Alyousef, Salim T. Yousif, et al.. (2020). Computational parameter identification of strongest influence on the shear resistance of reinforced concrete beams by fiber reinforcement polymer. Structures. 27. 118–127. 22 indexed citations

Petković, Biljana, Dalibor Petković, Boris Kuzman, et al.. (2020). Neuro-fuzzy estimation of reference crop evapotranspiration by neuro fuzzy logic based on weather conditions. Computers and Electronics in Agriculture. 173. 105358–105358. 32 indexed citations

Liêm, Ngô Văn, Nadhir Al‐Ansari, Tran Van Phong, et al.. (2019). GIS Based Novel Hybrid Computational Intelligence Models for Mapping Landslide Susceptibility: A Case Study at Da Lat City, Vietnam. Sustainability. 11(24). 7118–7118. 45 indexed citations

Phong, Tran Van, Phan Trọng Trịnh, Indra Prakash, et al.. (2019). Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam. Geocarto International. 36(15). 1685–1708. 77 indexed citations

10.

Pham, Binh Thai, Wei Chen, Hai‐Bang Ly, et al.. (2019). A Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping. Sustainability. 11(22). 6323–6323. 39 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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